Evaluating Time and Memory Efficiency Across Methods — Background When it comes to working with tabular data, data science practitioners will kickstart the process in a fast manner with their go-to libraries. During the data crunching process, one might face roadblocks such as Memory consumption is too high and subsequently causes the program to crash on a lower-spec machine …